Results 31 to 40 of about 1,974,250 (242)

Clustering by Random Projections [PDF]

open access: yes, 2007
Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algorithm for numerical data that combines ideas from random projection techniques and density-based clustering.
Urruty, Thierry   +2 more
openaire   +3 more sources

Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods [PDF]

open access: yes, 2012
Neumann K, Emmerich C, Steil JJ. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 2012;4(3):230-246.Neural networks based on high-dimensional
Emmerich, Christian   +2 more
core   +1 more source

Projection

open access: yes, 2022
Projection contains the Matlab suite used to project the histoblast ...
Nicolas Tapon (7559015)
core   +1 more source

Comparison of two approaches to compute magnetic field in problems with random domains [PDF]

open access: yes, 2012
This paper is a postprint of a paper submitted to and accepted for publication in Science, Measurement & Technology, IET and is subject to Institution of Engineering and Technology Copyright.
MAC, Duy Hung   +2 more
core   +1 more source

A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance

open access: yesFrontiers in Applied Mathematics and Statistics, 2022
Testing for independence plays a fundamental role in many statistical techniques. Among the nonparametric approaches, the distance-based methods (such as the distance correlation-based hypotheses testing for independence) have many advantages, compared ...
Cheng Huang, Xiaoming Huo
doaj   +1 more source

Initialization of latent space coordinates via random linear projections for learning robotic sensory-motor sequences

open access: yesFrontiers in Neurorobotics, 2022
Robot kinematic data, despite being high-dimensional, is highly correlated, especially when considering motions grouped in certain primitives. These almost linear correlations within primitives allow us to interpret motions as points drawn close to a ...
Vsevolod Nikulin, Jun Tani
doaj   +1 more source

Coding for Random Projections

open access: yesCoRR, 2013
The method of random projections has become very popular for large-scale applications in statistical learning, information retrieval, bio-informatics and other applications. Using a well-designed coding scheme for the projected data, which determines the number of bits needed for each projected value and how to allocate these bits, can significantly ...
Ping Li 0001   +2 more
openaire   +3 more sources

Optimum projection angle for attaining maximum distance in a soccer punt kick [PDF]

open access: yes, 2011
Copyright @ Journal of Sports Science and Medicine 2011.This article has been made available through the Brunel Open Access Publishing Fund.To produce the greatest horizontal distance in a punt kick the ball must be projected at an appropriate angle ...
Linthorne, NP, Patel, DS
core   +6 more sources

Sparse and Random Sampling Techniques for High-Resolution, Full-Field, BSS-Based Structural Dynamics Identification from Video

open access: yesSensors, 2020
Video-based techniques for identification of structural dynamics have the advantage that they are very inexpensive to deploy compared to conventional accelerometer or strain gauge techniques. When structural dynamics from video is accomplished using full-
Bridget Martinez   +4 more
doaj   +1 more source

Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)

open access: yesIEEE Access, 2021
Big data analysis has become a crucial part of new emerging technologies such as the internet of things, cyber-physical analysis, deep learning, anomaly detection, etc.
Salman Ahmadi-Asl   +6 more
doaj   +1 more source

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